Capital One
Join to apply for the
Distinguished Data Engineer - Card Data
role at
Capital One .
3 days ago Be among the first 25 applicants.
Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions.
About the Team Capital One is seeking a Distinguished Data Engineer, to work in our Credit Card Technology Data Engineering Team and build the future of financial services. We are a fast-paced, mission-driven group responsible for managing and leveraging petabytes of sensitive, real-time and batch data that powers everything from fraud detection models and personalized reward systems to regulatory compliance reporting. As a leader in Data Engineering, you won't just move data; you'll architect high-availability that directly influence millions of customer experiences and secure billions in transactions daily. You'll own critical data domains end-to-end, working cross-functionally with ML Scientists, Product Managers, and Business Analysts teams etc to solve complex, high-stakes problems with cutting-edge cloud technologies (like Snowflake, Kafka, and AWS). If you thrive on technical challenges, demand data integrity, and want your work to have a clear, measurable impact on the bank’s core profitability and security, this is your team.
Our Distinguished Engineers Are:
Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices
Visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates
Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities
Responsibilities:
Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team
Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible
Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner
Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent
Basic Qualifications:
Bachelor’s Degree
At least 7 years of experience in data engineering
At least 3 years of experience in data architecture
At least 2 years of experience building applications in AWS
Preferred Qualifications:
Masters’ Degree
9+ years of experience in data engineering
3+ years of data modeling experience
2+ years of experience with ontology standards for defining a domain
2+ years of experience using Python, SQL or Scala
1+ year of experience deploying machine learning models
3+ years of experience implementing big data processing solutions on AWS
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Salary ranges (annual) for this role by location: Chicago, IL: $239,900 - $273,800; McLean, VA: $263,900 - $301,200; New York, NY: $287,800 - $328,500; Richmond, VA: $239,900 - $273,800; San Francisco, CA: $287,800 - $328,500. This role is also eligible to earn performance-based incentive compensation.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
Seniority level Mid-Senior level
Employment type Full-time
Job function Information Technology
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace.
#J-18808-Ljbffr
Distinguished Data Engineer - Card Data
role at
Capital One .
3 days ago Be among the first 25 applicants.
Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions.
About the Team Capital One is seeking a Distinguished Data Engineer, to work in our Credit Card Technology Data Engineering Team and build the future of financial services. We are a fast-paced, mission-driven group responsible for managing and leveraging petabytes of sensitive, real-time and batch data that powers everything from fraud detection models and personalized reward systems to regulatory compliance reporting. As a leader in Data Engineering, you won't just move data; you'll architect high-availability that directly influence millions of customer experiences and secure billions in transactions daily. You'll own critical data domains end-to-end, working cross-functionally with ML Scientists, Product Managers, and Business Analysts teams etc to solve complex, high-stakes problems with cutting-edge cloud technologies (like Snowflake, Kafka, and AWS). If you thrive on technical challenges, demand data integrity, and want your work to have a clear, measurable impact on the bank’s core profitability and security, this is your team.
Our Distinguished Engineers Are:
Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices
Visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates
Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities
Responsibilities:
Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team
Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible
Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner
Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent
Basic Qualifications:
Bachelor’s Degree
At least 7 years of experience in data engineering
At least 3 years of experience in data architecture
At least 2 years of experience building applications in AWS
Preferred Qualifications:
Masters’ Degree
9+ years of experience in data engineering
3+ years of data modeling experience
2+ years of experience with ontology standards for defining a domain
2+ years of experience using Python, SQL or Scala
1+ year of experience deploying machine learning models
3+ years of experience implementing big data processing solutions on AWS
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Salary ranges (annual) for this role by location: Chicago, IL: $239,900 - $273,800; McLean, VA: $263,900 - $301,200; New York, NY: $287,800 - $328,500; Richmond, VA: $239,900 - $273,800; San Francisco, CA: $287,800 - $328,500. This role is also eligible to earn performance-based incentive compensation.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
Seniority level Mid-Senior level
Employment type Full-time
Job function Information Technology
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace.
#J-18808-Ljbffr